Triple
T20859406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropical Storm Bret (2005) |
E513573
|
entity |
| Predicate | stormNameOrigin |
P142143
|
FINISHED |
| Object | English given name Bret |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: English given name Bret | Statement: [Tropical Storm Bret (2005), stormNameOrigin, English given name Bret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stormNameOrigin Context triple: [Tropical Storm Bret (2005), stormNameOrigin, English given name Bret]
-
A.
stormNameList
Indicates that a storm is included in a designated list of named storms.
-
B.
firstUsedAsStormNameInBasin
Indicates the basin in which a particular storm name was first officially used.
-
C.
stormNamingInterval
Indicates the length of time between successive naming events for storms in a given system or context.
-
D.
firstStormFormed
Indicates that the referenced storm is the earliest one to form within a given time period, region, or dataset.
-
E.
stormedBy
Indicates that an entity is subjected to a forceful or aggressive assault, attack, or rush by another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3aabef4819098f0fd24dcc27dbd |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:44 p.m.